Datasets. The experiments are carried out on the ILSVRC12 ImageNet classification dataset [1]}. The ImageNet dataset is more challenging due to its large scale and greater diversity. There are 1000 classes and 1.2 million training images, and 50k validation images in it. In our experiments, we use the classic data augmentation method described in [2]}.
